Identification of Diverse Adenosine-to-Inosine RNA Editing Subtypes in Colorectal Cancer

Cancer Res Treat. 2017 Oct;49(4):1077-1087. doi: 10.4143/crt.2016.301. Epub 2017 Jan 25.

Abstract

Purpose: RNA editing generates protein diversity by altering RNA sequences in coding regions without changing the overall DNA sequence. Adenosine-to-inosine (A-to-I) RNA editing events have recently been reported in some types of cancer, but they are rare in human colorectal cancer (CRC). Therefore, this study was conducted to identify diverse RNA editing in CRC.

Materials and methods: We compared transcriptome data of 39 CRC samples and paired adjacent tissues from The Cancer Genome Atlas database to identify RNA editing patterns in CRC, focusing on canonical A-to-I RNA edits in coding sequence regions. We investigated nonsynonymous RNA editing patterns by comparing tumor and normal tissue transcriptome data.

Results: The number of RNA edits varied from 12 to 42 per sample. We also observed that hypoand hyper-RNA editing patterns were distinguishable within the samples. We found 10 recurrent nonsynonymous RNA editing candidates in nine genes (PDLIM, NEIL1, SRP9, GLI1, APMAP, IGFBP7, ZNF358, COPA, and ZNF587B) and validated some by Sanger sequencing and the inosine chemical erasing assay. We further showed that editing at these positions was performed by the adenosine deaminase acting on RNA 1 enzyme. Most of these genes are hypoedited in CRC, but editing of GLI1 was increased in cancer tissues compared with normal tissues.

Conclusion: Our results show that nonsynonymous RNA editing patterns can be used to identify CRC patients and could serve as novel biomarkers for CRC.

Keywords: Adenosine deaminase; Colorectal neoplasms; GLI family zinc finger 1; RNA editing; Transcriptome sequencing.

MeSH terms

  • Adenosine / genetics*
  • Biomarkers, Tumor
  • Cell Line, Tumor
  • Colorectal Neoplasms / genetics*
  • Colorectal Neoplasms / pathology
  • Gene Expression Profiling
  • Humans
  • Inosine / genetics*
  • RNA Editing*
  • Reproducibility of Results
  • Sequence Analysis, DNA
  • Transcriptome

Substances

  • Biomarkers, Tumor
  • Inosine
  • Adenosine